← Back to Clinical Trials
Recruiting NCT07020169

NCT07020169 Using 3D Kidney Model Based on Artificial Intelligence to Assist Partial Nephrectomy: A Prospective Validation Study

◆ AI Clinical Summary
Plain-language summary for patients
Clinical Trial Summary
NCT ID NCT07020169
Status Recruiting
Phase
Sponsor Shao Pengfei
Condition Renal Cell Cancer
Study Type INTERVENTIONAL
Enrollment 232 participants
Start Date 2025-05-01
Primary Completion 2026-09-01

Eligibility & Interventions

Sex All sexes
Min Age 18 Years
Max Age 80 Years
Study Type INTERVENTIONAL
Interventions
an AI-based real-time image-guided kidney model system

Eligibility Fast-Check

Enter your details for a quick preliminary check. This does not replace medical advice.

What to Expect as a Participant

You will actively receive the study intervention — which may be a drug, biologic, device, or procedure.

This trial targets 232 participants in total. It began in 2025-05-01 with a primary completion date of 2026-09-01.

⚠ This information is for research awareness only. Always consult your physician before joining any clinical trial. Participation is voluntary and you may withdraw at any time.

Brief Summary

The goal of this study is to develop a real-time artificial intelligence-driven 3D kidney model to assist robotic or laparoscopic partial nephrectomy: • Can this AI-powered model optimize the workflow of partial nephrectomy and enhance surgical benefits?

Eligibility Criteria

Inclusion Criteria: * Ages 18-80 years, regardless of gender * Written informed consent obtained from the patient or legally authorized representative after full protocol disclosure * Preoperative imaging (CT/MRI) confirming clinical stage T1a or select T1b renal tumors suitable for partial nephrectomy (R.E.N.A.L. nephrometry score ≤10) * Localized renal tumors without lymph node/distant metastasis per NCCN Guidelines® (v2023) * Elective minimally invasive partial nephrectomy (laparoscopic/robotic) after comprehensive surgical counseling Exclusion Criteria: * Multifocal renal tumors (bilateral or unilateral) * Prior systemic anticancer therapy (targeted agents/immunotherapy/chemotherapy) within 6 months * Absolute surgical contraindications (e.g., ASA class ≥IV, uncontrolled coagulopathy) * Intraoperative conversion to radical nephrectomy or open approach * Postoperative adjuvant therapy during protocol-defined follow-up (12 months) * Major comorbidities (e.g., NYHA class III/IV heart failure, eGFR \<30 mL/min/1.73m²) affecting outcome assessment * Concurrent enrollment in interventional clinical trials * Investigator-determined ineligibility based on risk-benefit analysis

Contact & Investigator

Central Contact

Pengfei Shao, Professor

✉ spf032@hotmail.com

📞 +8613851925825

Frequently Asked Questions

Who can join the NCT07020169 clinical trial?

This trial is open to participants of all sexes, aged 18 Years or older, up to 80 Years, studying Renal Cell Cancer. Full inclusion and exclusion criteria are listed in the Eligibility Criteria section. Always confirm your eligibility with the research team before applying.

Is NCT07020169 currently recruiting?

Yes, NCT07020169 is actively recruiting participants. Contact the research team at spf032@hotmail.com for enrollment information.

Where is the NCT07020169 trial being conducted?

This trial is being conducted at Nanjing, China, Nanjing, China.

Who is sponsoring the NCT07020169 clinical trial?

NCT07020169 is sponsored by Shao Pengfei. The trial plans to enroll 232 participants.

Related Trials

Related Intelligence Guides

In-depth guides covering this condition's trials, eligibility, and what to expect.

ClinicalMetric — Independent clinical trial intelligence platform. Not affiliated with NIH, ClinicalTrials.gov, the U.S. FDA, or any pharmaceutical company, hospital, or clinical research organization. Trial data is sourced from ClinicalTrials.gov for informational purposes only and does not constitute medical advice. Do not make any treatment, enrollment, or health decisions based solely on information found here — always consult a qualified healthcare professional. Full Disclaimer  ·  Last Reviewed: April 2026  ·  Data Methodology